scholarly journals Self-learning hybrid Monte Carlo: A first-principles approach

2020 ◽  
Vol 102 (4) ◽  
Author(s):  
Yuki Nagai ◽  
Masahiko Okumura ◽  
Keita Kobayashi ◽  
Motoyuki Shiga
2021 ◽  
Vol 155 (3) ◽  
pp. 034106
Author(s):  
Keita Kobayashi ◽  
Yuki Nagai ◽  
Mitsuhiro Itakura ◽  
Motoyuki Shiga

Author(s):  
Dominik Smith ◽  
Pavel Buividovich ◽  
Michael Körner ◽  
Maksim Ulybyshev ◽  
Lorenz von Smekal

Hubbard-type models on the hexagonal lattice are of great interest, as they provide realistic descriptions of graphene and other related materials. Hybrid Monte Carlo simulations offer a first-principles approach to study their phase structure. Here, we review the present status of our work in this direction.


Author(s):  
Jing-hua Guo ◽  
Jin-Xiang Liu ◽  
Hongbo Wang ◽  
Haiying Liu ◽  
Gang Chen

In this work, combining the first-principles calculations with kinetic Monte Carlo (KMC) simulations, we constructed an irregular carbon bridge on the graphene surface and explored the process of H migration...


Author(s):  
Sebastian Eisele ◽  
Fabian M. Draber ◽  
Steffen Grieshammer

First principles calculations and Monte Carlo simulations reveal the impact of defect interactions on the hydration of barium-zirconate.


2021 ◽  
Vol 265 ◽  
pp. 107978
Author(s):  
Johann Ostmeyer ◽  
Evan Berkowitz ◽  
Thomas Luu ◽  
Marcus Petschlies ◽  
Ferenc Pittler

2002 ◽  
Vol 528 (3-4) ◽  
pp. 301-305 ◽  
Author(s):  
Simon Catterall ◽  
Sergey Karamov

2014 ◽  
Vol 16 (26) ◽  
pp. 13383-13389 ◽  
Author(s):  
Xinru Li ◽  
Ying Dai ◽  
Yandong Ma ◽  
Baibiao Huang

The electronic and magnetic properties of d-electron-based Dirac systems are studied by combining first-principles with mean field theory and Monte Carlo approaches.


2009 ◽  
Vol 263 (1) ◽  
pp. 114-122 ◽  
Author(s):  
Qian-Lin Tang ◽  
Qi-Jun Hong ◽  
Zhi-Pan Liu

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